Michael A. Schuh

23 papers B 1C 1Misc 5Journal 3Unranked 13
YearRankTypeTitle / Venue / Authors
2017 Misc conf
A Region-Based Retrieval System for Heliophysics Imagery.
FLAIRS
Michael A. Schuh, Dustin Kempton, Rafal A. Angryk
2017 — conf
Cultivating Evolving Region Trajectory Datasets.
ICDM Workshops
Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
2017 — conf
Improving the functionality of tamura directionality on solar images.
IEEE BigData
Azim Ahmadzadeh, Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
2016 — conf
Describing solar images with sparse coding for similarity search.
IEEE BigData
Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
2016 J jnl
Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results.
J. Comb. Optim.
Tim Wylie, Michael A. Schuh, Rafal A. Angryk
2016 — conf
On the theory and practice of high-dimensional data indexing with iDistance.
IEEE BigData
Michael A. Schuh, Rafal A. Angryk
2016 — conf
Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories.
BDCloud-SocialCom-SustainCom
Ahmet Küçük, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
2016 — conf
Towards Feature Selection for Appearance Models in Solar Event Tracking.
ICAISC (2)
Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
2015 J jnl
On visualization techniques for solar data mining.
Astron. Comput.
Michael A. Schuh, Juan M. Banda, Tim Wylie, Patrick McInerney, Karthik Ganesan Pillai, Rafal A. Angryk
2015 J jnl
Solar image parameter data from the SDO: Long-term curation and data mining.
Astron. Comput.
Michael A. Schuh, Rafal A. Angryk, Petrus C. Martens
2014 Misc conf
Approximating High-Dimensional Range Queries with kNN Indexing Techniques.
COCOON
Michael A. Schuh, Tim Wylie, Chang Liu, Rafal A. Angryk
2014 — conf
Image retrieval on compressed images: Can we tell the difference?
IPTA
Juan M. Banda, Rafal A. Angryk, Michael A. Schuh, Petrus C. Martens
2014 — conf
Massive labeled solar image data benchmarks for automated feature recognition.
IEEE BigData
Michael A. Schuh, Rafal A. Angryk
2014 Misc conf
Mitigating the Curse of Dimensionality for Exact kNN Retrieval.
FLAIRS
Michael A. Schuh, Tim Wylie, Rafal A. Angryk
2013 — conf
A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing.
BNCOD
Michael A. Schuh, Tim Wylie, Juan M. Banda, Rafal A. Angryk
2013 B conf
A large-scale solar image dataset with labeled event regions.
ICIP
Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Juan M. Banda, Petrus C. Martens
2013 — conf
Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events.
ADBIS (2)
Juan M. Banda, Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Patrick McInerney
2013 Misc conf
Cluster Analysis for Optimal Indexing.
FLAIRS
Tim Wylie, Michael A. Schuh, John W. Sheppard, Rafal A. Angryk
2013 C conf
Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing.
ADBIS
Michael A. Schuh, Tim Wylie, Rafal A. Angryk
2013 — conf
Spatiotemporal Co-occurrence Rules.
ADBIS (2)
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Tim Wylie, Michael A. Schuh
2013 — conf
When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System.
ADBIS (2)
Juan M. Banda, Michael A. Schuh, Tim Wylie, Patrick McInerney, Rafal A. Angryk
2012 Misc conf
Evolving Kernel Functions with Particle Swarms and Genetic Programming.
FLAIRS
Michael A. Schuh, Rafal A. Angryk, John W. Sheppard
2012 — conf
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions.
ICDM Workshops
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Michael A. Schuh, Tim Wylie